Papers Instance Search
“Instance Search” 태그가 달린 논문 29편 · 필터 해제
Class Agnostic Instance-level Descriptor for Visual Instance Search
Despite the great success of the deep features in content-based image retrieval, the visual instance search remains challenging due to the lack of effective instance level feature representation. Supervised or weakly sup…
Content-Based Image RetrievalImage RetrievalInstance SearchObject+3CoVLR: Coordinating Cross-Modal Consistency and Intra-Modal Structure for Vision-Language Retrieval
Current vision-language retrieval aims to perform cross-modal instance search, in which the core idea is to learn the consistent visionlanguage representations. Although the performance of cross-modal retrieval has great…
cross-modal alignmentCross-Modal RetrievalInstance SearchRetrievalThe Effect of Points Dispersion on the $k$-nn Search in Random Projection Forests
Partitioning trees are efficient data structures for $k$-nearest neighbor search. Machine learning libraries commonly use a special type of partitioning trees called $k$d-trees to perform $k$-nn search. Unfortunately, $k…
Instance SearchQuantizationVector Quantization (k-means problem)Data-efficient End-to-end Information Extraction for Statistical Legal Analysis
Legal practitioners often face a vast amount of documents. Lawyers, for instance, search for appropriate precedents favorable to their clients, while the number of legal precedents is ever-growing. Although legal search …
Instance SearchMoving towards a Functional Approach in the Flemish Sign Language Dictionary Making Process
This presentation will outline the dictionary making process of the new online Flemish Sign Language dictionary launched in 2019. First some necessary background information is provided, consisting of a brief history of …
Instance Searchwhu-nercms at trecvid2021:instance search task
We will make a brief introduction of the experimental methods and results of the WHU-NERCMS in the TRECVID2021 in the paper. This year we participate in the automatic and interactive tasks of Instance Search (INS). For t…
Action DetectionFace DetectionFace RecognitionHuman-Object Interaction Detection+3Confidence-Aware Active Feedback for Interactive Instance Search
Online relevance feedback (RF) is widely utilized in instance search (INS) tasks to further refine imperfect ranking results, but it often has low interaction efficiency. The active learning (AL) technique addresses this…
Active LearningInstance SearchRe-RankingOVIS: Open-Vocabulary Visual Instance Search via Visual-Semantic Aligned Representation Learning
We introduce the task of open-vocabulary visual instance search (OVIS). Given an arbitrary textual search query, Open-vocabulary Visual Instance Search (OVIS) aims to return a ranked list of visual instances, i.e., image…
Instance SearchRepresentation LearningTowards Accurate Localization by Instance Search
Visual object localization is the key step in a series of object detection tasks. In the literature, high localization accuracy is achieved with the mainstream strongly supervised frameworks. However, such methods requir…
Few-Shot Object DetectionInstance SearchObjectobject-detection+2TRECVID 2020: A comprehensive campaign for evaluating video retrieval tasks across multiple application domains
The TREC Video Retrieval Evaluation (TRECVID) is a TREC-style video analysis and retrieval evaluation with the goal of promoting progress in research and development of content-based exploitation and retrieval of informa…
Ad-hoc video searchInstance SearchRetrievalVideo Retrieval+1Deep Learning for Instance Retrieval: A Survey
In recent years a vast amount of visual content has been generated and shared from many fields, such as social media platforms, medical imaging, and robotics. This abundance of content creation and sharing has introduced…
Content-Based Image RetrievalDeep LearningImage RetrievalInstance Search+2TRECVID 2019: An Evaluation Campaign to Benchmark Video Activity Detection, Video Captioning and Matching, and Video Search & Retrieval
The TREC Video Retrieval Evaluation (TRECVID) 2019 was a TREC-style video analysis and retrieval evaluation, the goal of which remains to promote progress in research and development of content-based exploitation and ret…
Action DetectionActivity DetectionAd-hoc video searchInstance Search+3Deeply Activated Salient Region for Instance Search
The performance of instance search depends heavily on the ability to locate and describe a wide variety of object instances in a video/image collection. Due to the lack of proper mechanism in locating instances and deriv…
Image RetrievalInstance SearchGlobalTrack: A Simple and Strong Baseline for Long-term Tracking
A key capability of a long-term tracker is to search for targets in very large areas (typically the entire image) to handle possible target absences or tracking failures. However, currently there is a lack of such a stro…
Instance SearchInstance Search via Instance Level Segmentation and Feature Representation
Instance search is an interesting task as well as a challenging issue due to the lack of effective feature representation. In this paper, an instance level feature representation built upon fully convolutional instance-a…
Instance SearchInstance SegmentationSegmentationSemantic SegmentationSaliency Weighted Convolutional Features for Instance Search
This work explores attention models to weight the contribution of local convolutional representations for the instance search task. We present a retrieval framework based on bags of local convolutional features (BLCF) th…
Instance SearchRetrievalCompressive Quantization for Fast Object Instance Search in Videos
Most of current visual search systems focus on image-to-image (point-to-point) search such as image and object retrieval. Nevertheless, fast image-to-video (point-to-set) search is much less exploited. This paper tackles…
Instance SearchObjectQuantizationRetrieval+1Learning Non-Metric Visual Similarity for Image Retrieval
Measuring visual similarity between two or more instances within a data distribution is a fundamental task in image retrieval. Theoretically, non-metric distances are able to generate a more complex and accurate similari…
Content-Based Image RetrievalImage RetrievalInstance SearchRetrievalAn evaluation of large-scale methods for image instance and class discovery
This paper aims at discovering meaningful subsets of related images from large image collections without annotations. We search groups of images related at different levels of semantic, i.e., either instances or visual c…
ClusteringGPUInstance SearchClass-Weighted Convolutional Features for Visual Instance Search
Image retrieval in realistic scenarios targets large dynamic datasets of unlabeled images. In these cases, training or fine-tuning a model every time new images are added to the database is neither efficient nor scalable…
image-classificationImage RetrievalInstance SearchRe-Ranking+1